Why Study the Relational Model? The Relational Model. Relational Database: Definitions. Integrity Constraints (ICs) Creating Relations in SQL

Similar documents
The Relational Model. Why Study the Relational Model? Relational Database: Definitions. Chapter 3

The Relational Model. Why Study the Relational Model?

The Relational Model. Ramakrishnan&Gehrke, Chapter 3 CS4320 1

The Relational Model. Why Study the Relational Model? Relational Database: Definitions

Lecture 6. SQL, Logical DB Design

Outline. Data Modeling. Conceptual Design. ER Model Basics: Entities. ER Model Basics: Relationships. Ternary Relationships. Yanlei Diao UMass Amherst

Review: Participation Constraints

Review Entity-Relationship Diagrams and the Relational Model. Data Models. Review. Why Study the Relational Model? Steps in Database Design

EECS 647: Introduction to Database Systems

CS2Bh: Current Technologies. Introduction to XML and Relational Databases. The Relational Model. The relational model

Winter Winter

There are five fields or columns, with names and types as shown above.

Database Management Systems. Chapter 1

Databases Model the Real World. The Entity- Relationship Model. Conceptual Design. Steps in Database Design. ER Model Basics. ER Model Basics (Contd.

Data Modeling. Database Systems: The Complete Book Ch ,

SQL NULL s, Constraints, Triggers

CS2Bh: Current Technologies. Introduction to XML and Relational Databases. Introduction to Databases. Why databases? Why not use XML?

The Relational Data Model and Relational Database Constraints

Relational model. Relational model - practice. Relational Database Definitions 9/27/11. Relational model. Relational Database: Terminology

Database Design Overview. Conceptual Design ER Model. Entities and Entity Sets. Entity Set Representation. Keys

Overview. Introduction to Database Systems. Motivation... Motivation: how do we store lots of data?

Conceptual Design Using the Entity-Relationship (ER) Model

The Entity-Relationship Model

3. Relational Model and Relational Algebra

CSC 443 Data Base Management Systems. Basic SQL

LiTH, Tekniska högskolan vid Linköpings universitet 1(7) IDA, Institutionen för datavetenskap Juha Takkinen

The SQL Query Language. Creating Relations in SQL. Referential Integrity in SQL. Basic SQL Query. Primary and Candidate Keys in SQL

CS143 Notes: Views & Authorization

Databases and BigData

Database Design. Marta Jakubowska-Sobczak IT/ADC based on slides prepared by Paula Figueiredo, IT/DB

Basic Concepts of Database Systems

Database Systems. Lecture 1: Introduction

Databasesystemer, forår 2005 IT Universitetet i København. Forelæsning 3: Business rules, constraints & triggers. 3. marts 2005

How To Create A Table In Sql (Ahem)

SQL Simple Queries. Chapter 3.1 V3.0. Napier University Dr Gordon Russell

Topics. Introduction to Database Management System. What Is a DBMS? DBMS Types

SQL Data Definition. Database Systems Lecture 5 Natasha Alechina

Oracle Database 10g Express

The core theory of relational databases. Bibliography

The Relational Data Model: Structure

DATABASE MANAGEMENT SYSTEMS. Question Bank:

In This Lecture. SQL Data Definition SQL SQL. Notes. Non-Procedural Programming. Database Systems Lecture 5 Natasha Alechina

Fundamentals of Database Design

A basic create statement for a simple student table would look like the following.

Chapter 5. SQL: Queries, Constraints, Triggers

SQL: Queries, Programming, Triggers

Example Instances. SQL: Queries, Programming, Triggers. Conceptual Evaluation Strategy. Basic SQL Query. A Note on Range Variables

SQL: Queries, Programming, Triggers

Database Security. Chapter 21

Database Design. Database Design I: The Entity-Relationship Model. Entity Type (con t) Chapter 4. Entity: an object that is involved in the enterprise

SQL DATA DEFINITION: KEY CONSTRAINTS. CS121: Introduction to Relational Database Systems Fall 2015 Lecture 7

How To Manage Data In A Database System

Ch.5 Database Security. Ch.5 Database Security Review

Foundations of Information Management

COMP 5138 Relational Database Management Systems. Week 5 : Basic SQL. Today s Agenda. Overview. Basic SQL Queries. Joins Queries

Chapter 6: Integrity Constraints

IT2304: Database Systems 1 (DBS 1)

Database Design. Goal: specification of database schema Methodology: E-R Model is viewed as a set of

IT2305 Database Systems I (Compulsory)

2. Conceptual Modeling using the Entity-Relationship Model

Schema Evolution in SQL-99 and Commercial (Object-)Relational DBMS

COMP 378 Database Systems Notes for Chapter 7 of Database System Concepts Database Design and the Entity-Relationship Model

Section of DBMS Selection & Evaluation Questionnaire

Chapter 5 More SQL: Complex Queries, Triggers, Views, and Schema Modification

SQL - QUICK GUIDE. Allows users to access data in relational database management systems.

DataBase Management Systems Lecture Notes

SQL Server An Overview

The Structured Query Language. De facto standard used to interact with relational DB management systems Two major branches

Databases What the Specification Says

Exercise 1: Relational Model

Relational Database Basics Review

New Security Options in DB2 for z/os Release 9 and 10

Information Systems SQL. Nikolaj Popov

CS 377 Database Systems. Database Design Theory and Normalization. Li Xiong Department of Mathematics and Computer Science Emory University

Computer Security: Principles and Practice

CMPT 354 Database Systems. Simon Fraser University Summer Instructor: Oliver Schulte

types, but key declarations and constraints Similar CREATE X commands for other schema ëdrop X name" deletes the created element of beer VARCHARè20è,

HP Quality Center. Upgrade Preparation Guide

Using SQL Server Management Studio

Instant SQL Programming

1. INTRODUCTION TO RDBMS

Relational Database Concepts

Physical Database Design Process. Physical Database Design Process. Major Inputs to Physical Database. Components of Physical Database Design


AVOIDANCE OF CYCLICAL REFERENCE OF FOREIGN KEYS IN DATA MODELING USING THE ENTITY-RELATIONSHIP MODEL

Introduction to Microsoft Jet SQL

Answers included WORKSHEET: INTEGRITY CONTROL IN RELATIONAL DATABASES

More SQL: Assertions, Views, and Programming Techniques

CSE 530A Database Management Systems. Introduction. Washington University Fall 2013

BCA. Database Management System

5.1 Database Schema Schema Generation in SQL

CMU - SCS / Database Applications Spring 2013, C. Faloutsos Homework 1: E.R. + Formal Q.L. Deadline: 1:30pm on Tuesday, 2/5/2013

Extracting META information from Interbase/Firebird SQL (INFORMATION_SCHEMA)

Graham Kemp (telephone , room 6475 EDIT) The examiner will visit the exam room at 15:00 and 17:00.

Bridge from Entity Relationship modeling to creating SQL databases, tables, & relations

ICAB4136B Use structured query language to create database structures and manipulate data

SQL Tables, Keys, Views, Indexes

Introduction to Triggers using SQL

Part A: Data Definition Language (DDL) Schema and Catalog CREAT TABLE. Referential Triggered Actions. CSC 742 Database Management Systems

COURSE NAME: Database Management. TOPIC: Database Design LECTURE 3. The Database System Life Cycle (DBLC) The database life cycle contains six phases;

Transcription:

The Relational Model Why Study the Relational Model? Most widely used model. Vendors: IBM, Informix, Microsoft, Oracle, Sybase, etc. Legacy systems in older models E.G., IBM s IMS Recent competitor: object-oriented model ObjectStore, Versant, Ontos, O2 A synthesis emerging: object-relational model Informix Universal Server, UniSQL, Oracle, DB2 1 2 Relational Database: Definitions Example Instance of Students Relation Relational database: a set of relations Relation: made up of 2 parts: Instance : a table, with rows and columns. #Rows = cardinality, #fields = degree / arity. Schema : specifies name of relation, plus name and type of each column. E.G. Students(sid: string, name: string, login: string, age: integer, gpa: real) Can think of a relation as a set of rows or tuples (i.e., all rows are distinct). 53688 Smith smith@eecs 18 3.2 53650 Smith smith@math 19 3.8 Cardinality = 3, degree = 5, all rows distinct Do all columns in a relation instance have to be distinct? 3 4 Creating Relations in SQL Creates the Students relation. Observe that the type (domain) of each field is specified, and enforced by the DBMS whenever tuples are added or modified. As another example, the Enrolled table holds information about courses that students take. CREATE TABLE Students (sid: CHAR(20), name: CHAR(20), login: CHAR(10), age: INTEGER, gpa: REAL) (sid: CHAR(20), cid: CHAR(20), grade: CHAR(2)) Integrity Constraints (ICs) IC: condition that must be true for any instance of the database; e.g., domain constraints. ICs are specified when schema is defined. ICs are checked when relations are modified. A legal instance of a relation is one that satisfies all specified ICs. DBMS should not allow illegal instances. If the DBMS checks ICs, stored data is more faithful to real-world meaning. Avoids many data entry errors, too! 5 6

Primary Key Constraints A set of fields is a superkey for a relation if: No two distinct tuples have the same values in all fields of the superkey A superkey is a (candidate) key if : No proper subset of it is a superkey If there s >1 candidate key for a relation, one of the keys is chosen (by DBA) to be the primary key. E.g., sid is a key for Students. (What about name?) The set {sid, gpa} is a superkey. 7 Primary and Candidate Keys in SQL Possibly many candidate keys (specified using UNIQUE), one of which is chosen as the primary key. For a given student and course, there is a single grade. vs. Students can take only one course, and receive a single grade for that course; further, no two students in a course receive the same grade. Used carelessly, an IC can prevent the storage of database instances that arise in practice! (sid CHAR(20) PRIMARY KEY (sid,cid) ) (sid CHAR(20) PRIMARY KEY (sid), UNIQUE (cid, grade) ) 8 Foreign Keys, Referential Integrity Foreign key : Set of fields in one relation that is used to `refer to a tuple in another (or the same) relation. (Must correspond to primary key of the second relation.) Like a `logical pointer. E.g. sid is a foreign key referring to Students: Enrolled(sid: string, cid: string, grade: string) If all foreign key constraints are enforced, referential integrity is achieved, i.e., no dangling references. Can you name a data model w/o referential integrity? Links in HTML! Foreign Keys in SQL Only students listed in the Students relation should be allowed to enroll for courses. (sid CHAR(20), PRIMARY KEY (sid,cid), FOREIGN KEY (sid) REFERENCES Students ) Enrolled sid cid grade 53666 Carnatic101 C 53666 Reggae203 B 53650 Topology112 A 53666 History105 B Students 53688 Smith smith@eecs 18 3.2 53650 Smith smith@math 19 3.8 9 10 Enforcing Referential Integrity Consider Students and Enrolled; sid in Enrolled is a foreign key that references Students. What should be done if an Enrolled tuple with a nonexistent student id is inserted? (Reject it!) What should be done if a Students tuple is deleted? Also delete all Enrolled tuples that refer to it. Disallow deletion of a Students tuple that is referred to. Set sid in Enrolled tuples that refer to it to a default sid. (In SQL, also: Set sid in Enrolled tuples that refer to it to a special placeholder null, meaning `unknown or `inapplicable ) Similar if primary key of Students tuple is updated. Referential Integrity in SQL/92 SQL/92 supports all 4 options on deletes and updates. Default is NO ACTION (delete/update is rejected) CASCADE (also delete all tuples that refer to deleted tuple) SET NULL / SET DEFAULT (sets foreign key value of referencing tuple) (sid CHAR(20), PRIMARY KEY (sid,cid), FOREIGN KEY (sid) REFERENCES Students ON DELETE CASCADE ON UPDATE SET DEFAULT ) 11 12

Where do ICs Come From? ICs are based upon the semantics of the realworld enterprise that is being described in the database relations. We can check a database instance to see if an IC is violated, but we can NEVER infer that an IC is true by looking at an instance. An IC is a statement about all possible instances! From example, we know name is not a key, but the assertion that sid is a key is given to us. Key and foreign key ICs are the most common; more general ICs supported too. 13 Logical DB Design: ER to Relational Entity sets to tables. ssn name Employees lot CREATE TABLE Employees (ssn CHAR(11), name CHAR(20), lot INTEGER, PRIMARY KEY (ssn)) 14 Relationship Sets to Tables In translating a relationship set to a relation, attributes of the relation must include: Keys for each participating entity set (as foreign keys). This set of attributes forms a superkey for the relation. All descriptive attributes. CREATE TABLE Works_In( ssn CHAR(1), PRIMARY KEY (ssn, did), FOREIGN KEY (ssn) REFERENCES Employees, FOREIGN KEY (did) REFERENCES Departments) Translating ER Diagrams with Key Constraints Map relationship to a table: Note that did is the key now! Separate tables for Employees and Departments. Since each department has a unique manager, we could instead combine Manages and Departments. CREATE TABLE Manages( ssn CHAR(11), FOREIGN KEY (did) REFERENCES Departments) CREATE TABLE Dept_Mgr( dname CHAR(20), budget REAL, ssn CHAR(11), FOREIGN KEY (ssn) REFERENCES Employees) 15 16 Participation Constraints in SQL We can capture participation constraints involving one entity set in a binary relationship, but little else (without resorting to CHECK constraints). CREATE TABLE Dept_Mgr( dname CHAR(20), budget REAL, ssn CHAR(11) NOT NULL, ON DELETE NO ACTION) 17 Translating Weak Entity Sets Weak entity set and identifying relationship set are translated into a single table. When the owner entity is deleted, all owned weak entities must also be deleted. CREATE TABLE Dep_Policy ( pname CHAR(20), age INTEGER, cost REAL, ssn CHAR(11) NOT NULL, PRIMARY KEY (pname, ssn), ON DELETE CASCADE) 18

Relational Query Languages The SQL Query Language A major strength of the relational model: supports simple, powerful querying of data. Queries can be written intuitively, and the DBMS is responsible for efficient evaluation. The key: precise semantics for relational queries. Allows the optimizer to extensively re-order operations, and still ensure that the answer does not change. Developed by IBM (system R) in the 1970s Need for a standard since it is used by many vendors Standards: SQL-86 SQL-89 (minor revision) SQL-92 (major revision, current standard) SQL-99 (major extensions) 19 20 The SQL Query Language To find all 18 year old students, we can write: SELECT * FROM Students WHERE age=18 To find just names and logins, replace the first line: SELECT name, login 53688 Smith smith@ee 18 3.2 Querying Multiple Relations What does the following query compute? SELECT S.name, E.cid FROM Students S, Enrolled E WHERE S.sid=E.sid AND E.grade= A Given the following instance of Enrolled (is this possible if the DBMS ensures referential integrity?): sid cid grade 53831 Carnatic101 C 53831 Reggae203 B 53650 Topology112 A 53666 History105 B we get: S.name Smith E.cid Topology112 21 22 Adding and Deleting Tuples Destroying and Altering Relations Can insert a single tuple using: INSERT INTO Students (sid, name, login, age, gpa) VALUES (53688, Smith, smith@ee, 18, 3.2) Can delete all tuples satisfying some condition (e.g., name = Smith): DELETE FROM Students WHERE name = Smith Powerful variants of these commands are available; more later! 23 DROP TABLE Students Destroys the relation Students. The schema information and the tuples are deleted. ALTER TABLE Students ADD COLUMN firstyear: integer The schema of Students is altered by adding a new field; every tuple in the current instance is extended with a null in the new field. 24

Relational Model: Summary A tabular representation of data. Simple and intuitive, currently the most widely used. Integrity constraints can be specified by the DBA, based on application semantics. DBMS checks for violations. Two important ICs: primary and foreign keys In addition, we always have domain constraints. Guidelines to translate ER to relational model Powerful and natural query languages exist. 25